- You the mean The War of Art
- I went to college late, so I rushed through. Which meant I didn't take the time to really engage with non-CS classes. So I'd like to go back for that. Especially the below masters, which should attract folks with similar feelings.
- We're using CodeRabbit at work, and it has been pretty positive overall. Especially once we turned off the poems and sequence diagram noise. Useful enough that I'm looking at paying for it for side projects when I am the sole developer.
- I have 2 LG DualUps. Though one is probably more than enough.
- From my experience:
Back of House: schedules are pretty much set. The only time things change is working around someone being out.
Front of House is famously a giant pot exceptions. Mix of professional waitstaff and folks who are just picking up some shifts to finance their passion/true focus(art, music, non-profits, teachers). So you'll need to work around some fun priorities.
How do you flag special events? This will require extra people on a Monday that is historically forecast-ed to be slow. Large parties is a specialist skill in a lot of restaurants. Pretty much any server can make a large party work, but normally a few of the staff really shine with that kind of work, and you'll want them staffed.
Respect everyone's availability/time-off: FOH usually has a good mix of full-time and part-time. And a lot of people are willing to pick up an extra shift with some head's up. And that's both part-times going full-time for a week, and full-timers working extra shifts. People have preferences around working/not working doubles and clopens. One of your full-timers requests a few shifts off next week because their band is playing the next town over. The human process is just to ask a few people who are working if they want to pick up those shifts. Often the person taking off will have found someone to cover for them before requesting the time off, so you'll need that input. Often the GM/AGM making the schedule has all of the human parts in their head and just works through it.
- This is a large part of the discussions in the first one or two interviews in Interviews with Francis Bacon by David Sylvester. Bacon talks about pushing to the limits of adding more to a work until it's good, and then if taken too far it ruins the work. And only very rarely can he pull it back around to good.
- There are 2 different sizes.
- Related to wheretodrink.beer, I just launched a rough version of: https://www.nomnominees.com/. A site focused on finding award-winning breweries/restaurants to check out.
- Could be a bunch of reddit bots on AWS are now catching back up as AWS recovers and spiking hits to reddit
- I'd get it straight from Manning and save a few bucks and take out the middle man: https://www.manning.com/books/build-a-large-language-model-f...
- I'm always reading a few books across a categories.
Fiction: Reaper's Gale, book #7 of the fantasy series Malazan Book of the Fallen.
Non-fiction(history): Denmark Vesey’s Garden: Slavery and Memory in the Cradle of the Confederacy
And then I'm dabbling in a few books around the math behind and practical hands-on machine learning/deep learning.
- I'm currently working through Mathematics for Machine Learning and Data Science Specialization from Deeplearning.AI. It's been the best into to Linear Algebra I've found. It's worth the $50 a month just for the quizzes, labs, etc. I'm simultaneously working through the book Math and Architectures of Deep Learning, which is helping re-inforce and flesh out the ideas from the course.
[0] https://www.coursera.org/specializations/mathematics-for-mac... [1] https://www.manning.com/books/math-and-architectures-of-deep...
- This is where I feel like I'm doing something wrong whenever I try these tools. Everyone says things like "just keep telling it what to fix, it might take a few rounds". But that ends up taking just as long if not longer than doing it myself.
- > AI doing 30-50% of your work
I use AI for taking info and restructuring it for me. Rewrite a Linear ticket in a proper format, take an info dump and turn it into a spike outcome or ADR doc that I can then refine. I also like it for the rote stuff I haven't memorized the structure of: building OpenSearch queries, writing boto3 snippets, etc. Other than that, my job is the same as it was pre-LLM hype. And from talking to other engineers, it seems that my experience is fairly standard.
- I've picked up each color of the new metal body Kuru Toga, and they are an extra level of extravagance on an already perfect pencil: https://www.jetpens.com/Uni-Kuru-Toga-Metal-Mechanical-Penci...
Pigma Microns and Uniball One are my go-to pens. Previously it was Signo DXs as well. I think I prefer the barrel of the DX, but the wire clip and general appearance of the Uniball sold me.
- 2022 Hyundai Kona N. It's fun while still being practical enough.
- 1 API Gateway + fat lambdas
- Weaving for me. I've even picked up a small "pocket" loom, that's about A5 paper size that allows me to practice tapestry techniques on the move. This summer I plan on taking it to parks, brewery patios, etc.
- I've been using a Peugeot 23461 for 5 years of near daily cooking with no issues. Jut finished making a bacon, egg, and cheese sandwich with some aggressive peppering with it.
https://codecrafters.io/